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Dynamic functional modelling of vulnerability and interoperability of Critical Infrastructures

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  • Trucco, P.
  • Cagno, E.
  • De Ambroggi, M.

Abstract

The paper describes a new integrated formalism for the dynamic functional modelling of vulnerability and interoperability of Critical Infrastructures at regional level. The model assesses the propagation of impacts in terms of disservice due to a wide set of threats. The disservice can be propagated within the same infrastructure or to other CIs by means of the interdependence model, which is able to represent physical, cybernetic, geographic as well as logical interdependencies and also the shift of the demand between two infrastructures that can provide the same or fully/partially replaceable service. The model is dynamic, since both the impact of the specific threat on a generic infrastructure node and the inoperability functions are time-dependent. A pilot study has been carried in the metropolitan area of the province of Milan, considering the Critical Infrastructures referred to the transportation system.

Suggested Citation

  • Trucco, P. & Cagno, E. & De Ambroggi, M., 2012. "Dynamic functional modelling of vulnerability and interoperability of Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 51-63.
    • Handle: RePEc:eee:reensy:v:105:y:2012:i:c:p:51-63
    DOI: 10.1016/j.ress.2011.12.003
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    References listed on IDEAS

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    1. Benoit Robert & Luciano Morabito, 2008. "The operational tools for managing physical interdependencies among critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(4), pages 353-367.
    2. Setola, Roberto & De Porcellinis, Stefano & Sforna, Marino, 2009. "Critical infrastructure dependency assessment using the input–output inoperability model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 170-178.
    3. Benoit Robert & Renaud De Calan & Luciano Morabito, 2008. "Modelling interdependencies among critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(4), pages 392-408.
    4. Cagno, Enrico & De Ambroggi, Massimiliano & Grande, Ottavio & Trucco, Paolo, 2011. "Risk analysis of underground infrastructures in urban areas," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 139-148.
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    Cited by:

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    3. Ebrahimnejad, Sadoullah & khanbaba, Amirhossein & Samimi, Sina, 2021. "Development of an Input-Output Model Considering Simultaneous Effect of Risks in Infrastructure under Dynamic Conditions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    4. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    5. Galbusera, Luca & Trucco, Paolo & Giannopoulos, Georgios, 2020. "Modeling interdependencies in multi-sectoral critical infrastructure systems: Evolving the DMCI approach," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    6. David Rehak & Michal Radimsky & Martin Hromada & Zdenek Dvorak, 2019. "Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool," Administrative Sciences, MDPI, vol. 9(2), pages 1-16, March.
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    10. Augutis, Juozas & Jokšas, Benas & Krikštolaitis, Ričardas & Urbonas, Rolandas, 2016. "The assessment technology of energy critical infrastructure," Applied Energy, Elsevier, vol. 162(C), pages 1494-1504.
    11. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 315-337, August.
    12. Magoua, Joseph Jonathan & Li, Nan, 2023. "The human factor in the disaster resilience modeling of critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    13. Rehak, David & Markuci, Jiri & Hromada, Martin & Barcova, Karla, 2016. "Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 14(C), pages 3-17.
    14. Caputo, A.C. & Donati, L. & Salini, P., 2023. "Estimating resilience of manufacturing plants to physical disruptions: Model and application," International Journal of Production Economics, Elsevier, vol. 266(C).
    15. Caputo, Antonio C. & Kalemi, Bledar & Paolacci, Fabrizio & Corritore, Daniele, 2020. "Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    16. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington Y., 2019. "Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 62-79.
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